AI Skill Hub 强烈推荐:GEO网站优化工具包 是一款优质的MCP工具。AI 综合评分 8.2 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
GEO网站优化工具包 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
GEO网站优化工具包 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/Auriti-Labs/geo-optimizer-skill
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"geo-------": {
"command": "npx",
"args": ["-y", "geo-optimizer-skill"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 GEO网站优化工具包 执行以下任务... Claude: [自动调用 GEO网站优化工具包 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"geo_______": {
"command": "npx",
"args": ["-y", "geo-optimizer-skill"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<img src="assets/geoready-logo.svg" alt="GeoReady GEO Optimizer — Answer Engine Optimization toolkit" width="640"/>
uvx --from geo-optimizer-skill geo audit --url https://yoursite.com ```
It scores your site against 47 research-backed methods (Princeton KDD 2024, AutoGEO ICLR 2026) and generates the exact fixes — robots.txt bot rules, llms.txt, JSON-LD schema, and the content patterns models quote.
---
Treat AI visibility like test coverage: gate every deploy on it. The GitHub Action scores your site, fails the build below a threshold, and uploads results to the Security tab.
```yaml
pip install geo-optimizer-skill
No install? One-shot audit with uv:
uvx --from geo-optimizer-skill geo audit --url https://yoursite.com
```bash
geo citations --brand "YourBrand" --domain yoursite.com --topic "your product category"
from geo_optimizer import audit
result = audit("https://example.com")
print(result.score) # 85
print(result.band) # "good"
print(result.citability.total_score) # 72
print(result.score_breakdown) # {"robots": 18, "llms": 14, ...}
print(result.recommendations) # ["Add FAQPage schema..."]
Async variant:
from geo_optimizer import audit_async
result = await audit_async("https://example.com")
---
- uses: Auriti-Labs/geo-optimizer-skill@v4.17.1 with: url: https://yoursite.com min-score: 70 # Fail the build if the GEO score drops below 70 format: sarif # Upload findings to the GitHub Security tab
Works with GitHub Actions, GitLab CI, Jenkins, CircleCI, and any CI that runs Python. For longitudinal checks, persist snapshots and **fail on regression or semantic drift**:
bash geo audit --url https://yoursite.com --save-history --regression geo drift --url https://yoursite.com --fail-on warning # exit non-zero if signals degraded ```
---
Make an Astro site GEO-ready at build time — generates llms.txt, /.well-known/ai.txt, and /ai/summary.json from your built routes (never overwrites hand-curated files):
// astro.config.mjs
import geoReady from 'astro-geoready';
export default defineConfig({
site: 'https://yoursite.com',
integrations: [geoReady({ siteName: 'Your Site' })],
});
See integrations/astro-geoready/ — geoready.dev itself builds with it.
---
Extend the audit with custom checks via entry points:
[project.entry-points."geo_optimizer.checks"]
my_check = "mypackage:MyCheck"
See examples/example_plugin.py for a working example.
---
| GEO Optimizer CLI | GeoReady.dev Free | GeoReady Pro / Studio / Agency | |
|---|---|---|---|
| **License / access** | MIT, open-source | Free, no account | Self-serve — [sign up](https://app.geoready.dev/signup) |
| **Core use** | Local audit engine, CI/CD integration, JSON output | Web audit, score preview, educational pages | Monitoring, score history, regression alerts, agency reporting |
| **Target** | Developers, automation | Developers, SEO specialists | Ongoing clients, multi-site portfolios |
| **Pricing** | Free forever | Free forever | From $19/month — see [geoready.dev/pricing](https://geoready.dev/pricing) |
The CLI and web audit remain MIT-licensed and free. The GeoReady platform adds server-side continuity — monitoring, history, and team features — that a local CLI cannot provide on its own.
---
geo diff --before https://yoursite.com/page-old --after https://yoursite.com/page-new
What is Answer Engine Optimization (AEO)? AEO is the practice of structuring your website so AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude — can find, understand, and cite it as the direct answer to a user's question. It is also called Generative Engine Optimization (GEO), AI SEO, LLM SEO, or AI Search Optimization. GEO Optimizer audits and scores your site for all of it.
How do I check if ChatGPT or Perplexity cites my website? Run geo citations --brand "Your Brand" --domain yoursite.com with a Perplexity or OpenAI API key. It asks the engine customer-style questions and reports whether your brand is mentioned, whether your domain is cited as a source, and which competitors are cited instead. No account needed for the free web version.
Is this an llms.txt generator and checker? Yes. geo llms generates an llms.txt from your sitemap, the audit scores its presence and depth, and the Astro integration creates one at build time. There's also a free online llms.txt generator.
Is it free and open source? Yes — MIT licensed, free forever via pip install geo-optimizer-skill or uvx. The hosted GeoReady platform adds continuous monitoring, score history, citation tracking, and team features on top of the same engine.
Which AI engines does it cover? ChatGPT (GPTBot, OAI-SearchBot), Perplexity (PerplexityBot), Claude (ClaudeBot, Claude-SearchBot), Google (Googlebot, Google-Extended, Gemini), plus 27 AI bots total and per-platform readiness profiles for ChatGPT, Perplexity, and Google AI Overviews.
How is it different from a traditional SEO tool? Traditional SEO tools optimize for Google rankings and backlinks. GEO Optimizer measures AI citation readiness — whether answer engines can crawl, parse, and quote your content — using signals (llms.txt, AI-bot access, schema richness, citability, topical authority) that classic SEO ignores.
---
创新的GEO工具,填��生成式搜索优化空白。代码质量好、文档完善、社区活跃,是AI时代SEO的必备工具。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,GEO网站优化工具包 是一款质量优秀的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | geo-optimizer-skill |
| 原始描述 | 开源MCP工具:GEO (Generative Engine Optimization) toolkit — audit, optimize, and make website。⭐461 · Python |
| Topics | SEO优化生成式搜索网站审计MCP工具Python |
| GitHub | https://github.com/Auriti-Labs/geo-optimizer-skill |
| License | MIT |
| 语言 | Python |
收录时间:2026-06-09 · 更新时间:2026-06-11 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端